Support Data engineering
Location not identified
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild reliable data ingestion, transformation and loading (ETL) pipelines
Design schemas and relational or dimensional data models
Move data between storage systems, formats, or environments
From the employer’s posting
ETL pipeline development: building reliable data ingestion, transformation, and loading processes.
Data modeling: designing schemas, working with relational or dimensional models.
Data migration: moving data between storage systems, formats, or environments.
What you’ll bring
All qualificationsCore experience
- Strong Python programming skills
- Working with DataFrames, such as pandas or PySpark DataFrames
- ETL pipeline development experience
- Data modeling experience
- Data migration experience
Preferred experience
- Python DataFrames, ETL pipelines, data modeling and data migration (listed as preferred extras)
Qualification wording
Python programming with strong proficiency.
DataFrames, especially using libraries like pandas (or PySpark DataFrames).
ETL pipeline development: building reliable data ingestion, transformation, and loading processes.
Data modeling: designing schemas, working with relational or dimensional models.
Data migration: moving data between storage systems, formats, or environments.
Nice-to-Have (Interestingly, these echo the mandatory list, suggesting prioritization of above core skills): Python DataFrames ETL pipelines Data modeling Data migration
Tools in this posting
- Python
- pandas
- PySpark
Source — Tool mentions in context
Python programming with strong proficiency. DataFrames, especially using libraries like pandas (or PySpark DataFrames). ETL pipeline development: building reliable data ingestion, transformation, and loading processes. Data modeling: designing schemas, working with relational or dimensional models. Data migration: moving data between storage systems, formats, or environments. ✨ Nice-to-Have (Interestingly, these echo the mandatory list, suggesting prioritization of above core skills): Python DataFrames ETL pipelines Data modeling Data migration
Posting record
Report an errorOpen 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 148 days ago
- Recorded sightings
- 229
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Jun 19, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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